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I was recently asked to deliver a days training on scientific data visualisation. I spent a while scanning through papers to pull out what I see as the “7 deadly sins” of academic data visualisation (there are probably many more) .
These sins are rooted in a lack of time and training, an underestimation of the importance of data visualisation for conveying results and/or no real interest in producing good graphics. Frankly these reasons are perfectly understandable and I am not expecting academics to achieve excellence in design – that’s what graphic designers spend years perfecting. Instead, I am suggesting that we could all take a second look at our graphics in the light of these sins just to make sure they are easily understood and showcase the results of our hard earned analysis.
